Astronomical image manipulation in the discrete wavelet transform domain

Traditionally processing an image stored in the compressed form requires de compression first Following manipulations, the processed image is recompres sed for storage. Manipulating im ages in the semicompressed or transform do main appears to be an effective way to reduce processing time, in this pape r, new algorithms for image interpolation in the Haar transform domain are pro posed. These algorithms perform interpolation by computing a new subban d using two different approaches. Experimental results indicate that in add ition to running faster in the transform domain, the new algorithms produce images with qualities comparable to those in the spatial domain. Applicati ons are seen in conjunction with Haar-based transforms such as the HCOMPRES S which is commonly used for compression in space science imagery. (C) 2000 SPIE and IS&T. [S1017-9909(00)01102-8].